Towards an architecture-independent analysis of parallel algorithms
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Optimal Task Assignment in Homogeneous Networks
IEEE Transactions on Parallel and Distributed Systems
Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
Guest Editorial: A Review of Worst-Case Execution-TimeAnalysis
Real-Time Systems - Special issue on worst-case execution-time analysis
DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors
IEEE Transactions on Parallel and Distributed Systems
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Load profiling: a methodology for scheduling real-time tasks in a distributed system
ICDCS '97 Proceedings of the 17th International Conference on Distributed Computing Systems (ICDCS '97)
Counterexample-guided abstraction refinement for symbolic model checking
Journal of the ACM (JACM)
Utilization and Predictability in Scheduling the IBM SP2 with Backfilling
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Cost-Based Scheduling of Scientific Workflow Application on Utility Grids
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
Multiprocessor Scheduling with the Aid of Network Flow Algorithms
IEEE Transactions on Software Engineering
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
The worst-case execution-time problem—overview of methods and survey of tools
ACM Transactions on Embedded Computing Systems (TECS)
FlexPRICE: Flexible Provisioning of Resources in a Cloud Environment
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Declarative automated cloud resource orchestration
Proceedings of the 2nd ACM Symposium on Cloud Computing
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
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Cloud computing is an emerging paradigm aimed to offer users pay-per-use computing resources, while leaving the burden of managing the computing infrastructure to the cloud provider. We present a new programming and pricing model that gives the cloud user the flexibility of trading execution speed and price on a per-job basis. We discuss the scheduling and resource management challenges for the cloud provider that arise in the implementation of this model. We argue that techniques from real-time and embedded software can be useful in this context.